I/F
A Continuous Authentication Framework for Securing Metaverse Identities A Developer-Focused Genetic Algorithm for IoT Application Placement in the Computing Continuum A Novel Cross-Chain Hierarchical Federated Learning Framework for Enhancing Service Security and Communication Efficiency A Paradigm Shift in Service Research: The Case of Service Composition A Reliable Distributed-Cloud Storage Based on Permissioned Blockchain An End-to-End Deep Learning QoS Prediction Model Based on Temporal Context and Feature Fusion ARRQP: Anomaly Resilient Real-Time QoS Prediction Framework With Graph Convolution Artificial Impostors: An Efficient and Scalable Scheme for Location Privacy Preservation Auto.gov: Learning-Based Governance for Decentralized Finance (DeFi) AutoBDA: Model-Driven Reference Architecture for Automated Big Data Analysis Framework Business Process Remaining Time Prediction Based on Incremental Event Logs Collaborative Edge Server Placement for Maximizing QoS With Distributed Data Cleaning DIST: Distributed Learning-Based Energy-Efficient and Reliable Task Scheduling and Resource Allocation in Fog Computing DRL-Based Joint Optimization of Wireless Charging and Computation Offloading for Multi-Access Edge Computing Dual-View Deep Learning Approach for Predictive Business Process Monitoring Edge-Cloud Continuum Orchestration of Critical Services: A Smart-City Approach Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers Enhancing LLM QoS Through Cloud-Edge Collaboration: A Diffusion-Based Multi-Agent Reinforcement Learning Approach Federated Learning With Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model Implicit Supervision-Assisted Graph Collaborative Filtering for Third-Party Library Recommendation Improving User QoE via Joint Trajectory and Resource Optimization in Multi-UAV Assisted MEC Integrating Deep Spiking Q-Network Into Hypergame-Theoretic Deceptive Defense for Mitigating Malware Propagation in Edge Intelligence-Enabled IoT Systems KubeSPT: Stateful Pod Teleportation for Service Resilience With Live Migration Latency-Aware Joint Task Offloading and Energy Control for Cooperative Mobile Edge Computing LEAGAN: A Decentralized Version-Control Framework for Upgradeable Smart Contracts Low-Cost Data Offloading Strategy With Deep Reinforcement Learning for Internet of Things ML-Based Intrusion Detection as a Service: Traffic Split Offloading and Cost Allocation in a Multi-Tier Architecture Monitoring Inter-Drone Service Interference for Resilient Operations MSCCL: A Framework for Enhancing Mashup Service Clustering With Contrastive Learning OblivTime: Oblivious and Efficient Interval Skyline Query Processing Over Encrypted Time-Series Data Online Traffic Allocation for Video Service Providers in Cloud-Edge Cooperative Systems pFedCal: Lightweight Personalized Federated Learning With Adaptive Calibration Strategy Privacy-Enhanced Federated Expanded Graph Learning for Secure QoS Prediction Proof of Random Leader: A Fast and Manipulation-Resistant Proof-of-Authority Consensus Algorithm for Permissioned Blockchains Using Verifiable Random Function Puncturable Signature and Applications in Privacy-Aware Data Reporting for VDTNs Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems Random Coding Responses for Resisting Side-Channel Attacks in Client-Side Deduplicated Cloud Storage ReFrame: A Resource-Friendly Cloud-Assisted On-Device Deep Learning Framework for Vision Services Reliable Service Recommendation: A Multi-Modal Adversarial Method for Personalized Recommendation Under Uncertain Missing Modalities Robust Federated Learning for Privacy Preservation and Efficiency in Edge Computing Seamless Graph Task Scheduling Over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions SECTest: An Integrated Testing Platform for QoS in Satellite Edge Clouds Service Migration for Delay-Sensitive IoT Applications in Edge Networks Split Computing for Mobile Devices: Energy and Latency Perspective Synthetic Privacy-Preserving Trajectories With Semantic-Aware Dummies for Location-Based Services Tensor-Based Factorial Hidden Markov Model for Cyber-Physical-Social Services TREAT: Temporal and Relational Attention-Based Tensor Representation Learning for Ethereum Phishing Users Towards Hybrid Architectures for Big Data Analytics: Insights From Spark-MPI Integration A Customized Genetic Algorithm for SLA-Aware Service Provisioning in Infrastructure-Less Vehicular Cloud Networks